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A semantic web environment for components

Published online by Cambridge University Press:  01 March 2009

Hai H. Wang  and
Jing Sun
Hai H. Wang
Affiliation:
School of Engineering and Applied Science, Aston University, United Kingdom; e-mail: h.wang@aston.ac.uk
Jing Sun
Affiliation:
Department of Computer Science, The University of Auckland, Auckland, New Zealand; e-mail: j.sun@cs.auckland.ac.nz
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Abstract

Component-based development (CBD) has become an important emerging topic in the software engineering field. It promises long-sought-after benefits such as increased software reuse, reduced development time to market and, hence, reduced software production cost. Despite the huge potential, the lack of reasoning support and development environment of component modeling and verification may hinder its development. Methods and tools that can support component model analysis are highly appreciated by industry. Such a tool support should be fully automated as well as efficient. At the same time, the reasoning tool should scale up well as it may need to handle hundreds or even thousands of components that a modern software system may have. Furthermore, a distributed environment that can effectively manage and compose components is also desirable. In this paper, we present an approach to the modeling and verification of a newly proposed component model using Semantic Web languages and their reasoning tools. We use the Web Ontology Language and the Semantic Web Rule Language to precisely capture the inter-relationships and constraints among the entities in a component model. Semantic Web reasoning tools are deployed to perform automated analysis support of the component models. Moreover, we also proposed a service-oriented architecture (SOA)-based semantic web environment for CBD. The adoption of Semantic Web services and SOA make our component environment more reusable, scalable, dynamic and adaptive.

Information

Type
Article
Information
The Knowledge Engineering Review , Volume 24 , Special Issue 1: Software and system engineering – part 1 , March 2009 , pp. 59 - 75
Copyright
Copyright © Cambridge University Press 2009

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